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Project for the exams of FAIKR Module 3, Master in AI at UNIBO

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
data		data
plots		plots
results		results
.gitignore		.gitignore
BuildingBayesianNetwork.ipynb		BuildingBayesianNetwork.ipynb
BuildingBayesianNetwork.py		BuildingBayesianNetwork.py
LucaDomeniconiReport.pdf		LucaDomeniconiReport.pdf
README.md		README.md
synthetic_data.py		synthetic_data.py

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FAIKR Module 3 Project

This repo is for the project of the exam of Fundamendals of AI and Knowledge Representation Module 3 from UNIBO.

Content

Files
- BuildingBayesianNetwork.ipynb: this file contains the implementation of the TPDA algorithm, all the benchmarks and the plots.
- BuildingBayesianNetwork.py: in this file I implemented all the procedures useful for the TPDA algorithm in order to make the notebook more readable.
- synthetic_data.py: simple python script to generate a dataset by sampling a Bayesian network.
Folders:
- data: contains the original data used for the experiments. For the source referer to the report.
- plots: contains the resulting plots.
- results: contains the results in JSON format.

Contact

Feel free to contact me at luca.domeniconi5@studio.unibo.it

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Project for the exams of FAIKR Module 3, Master in AI at UNIBO

bayesian-networks bayesian-network-learning

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